TRACE: A trust-aware incentive mechanism for federated learning in IoMT
Abstract Federated Learning (FL) has emerged as a promising privacy-preserving framework for the Internet of Medical Things (IoMT), yet issues like client selfishness and data heterogeneity impair model generalization, resulting in suboptimal and potentially unsafe medical diagnostics. Existing ince...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00172-6 |
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